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Weihao Wang – ProQuest LLC, 2024
In this work, we introduce a novel oversampling technique, the theory of inheritance and Gower distance-based oversampling (TIGO) method, designed to address class imbalance issues in mixed categorical and continuous variables data set. Drawing inspiration from genetic inheritance principles, TIGO synthesizes new minority class data,…
Descriptors: Sampling, Statistics Education, Data Analysis, Prediction
Claire Miller – ProQuest LLC, 2024
Data are everywhere. Data collected from samples are often reported in the form of polls, medical studies, and advertisement information and an understanding of sampling distributions and statistical inference is important for evaluating data-based claims (Bargagliotti et al., 2020). Despite the importance of understanding statistical inference…
Descriptors: Novices, Thinking Skills, Sampling, Statistical Distributions
Kino Zhao – ProQuest LLC, 2021
This dissertation is composed of projects on three aspects of gathering and learning from data in the social sciences: drawing representative samples, taking valid measurement, and making warranted inductive inferences. Chapter one studies the challenge of drawing representative human samples. It is well documented that most samples used by…
Descriptors: Social Sciences, Data Collection, Data Use, Educational Research
Ning Jiang – ProQuest LLC, 2022
The purpose of this study is to evaluate the performance of three commonly used model fit indices when measurement invariance is tested in the context of multiple-group CFA analysis with categorical-ordered data. As applied researchers are increasingly aware of the importance of testing measurement invariance, as well as Likert-type scales are…
Descriptors: Goodness of Fit, Factor Analysis, Data, Monte Carlo Methods
Deep Learning Based Imbalanced Data Classification and Information Retrieval for Multimedia Big Data
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
Naian Yin – ProQuest LLC, 2020
Online networks, as digital images reflecting every aspects of real world especially under the current context of information technology, have become the most massive and opulent data source these days, where vast amount of information keeps being produced and transmitted. Their rapid expansion in scale and data volume draws wide attention and…
Descriptors: Sampling, Networks, Topology, Computer Mediated Communication
Sebahat Gok – ProQuest LLC, 2024
Many education researchers have advocated grounding abstract mathematical and scientific concepts in students' lived experiences, environmental interactions, and perceptions. This dissertation explores the causal effects of various grounding strategies in instructional settings, specifically on the topic of statistical sampling. The first chapter…
Descriptors: Teaching Methods, Attribution Theory, Statistics Education, Computer Simulation
Graham, Derrik – ProQuest LLC, 2017
The purpose of this qualitative grounded theory study was to create a student leadership development model specific to secondary students in a private Christian Hawaiian school system. The paradigm that guided this study was Kouzes and Posner's (2012) transformational leadership theory as it provides a framework of leaders equipping, encouraging,…
Descriptors: Grounded Theory, Student Leadership, Models, Secondary School Students
Carrillo, Rafael E. – ProQuest LLC, 2012
Compressed sensing (CS) is an emerging signal acquisition framework that goes against the traditional Nyquist sampling paradigm. CS demonstrates that a sparse, or compressible, signal can be acquired using a low rate acquisition process. Since noise is always present in practical data acquisition systems, sensing and reconstruction methods are…
Descriptors: Mathematics, Computation, Sampling, Data Collection
Pham, Cheryl Carangian – ProQuest LLC, 2011
The purpose of this mixed methods phenomenological study was to explore the data-driven instructional decisions that elementary teachers make in literacy. Educators have moved towards a culture of being data-driven, and have declared data use in schools to be significant to school improvement and accountability (Marsh, Pane, & Hamilton, 2006).…
Descriptors: Student Evaluation, Standardized Tests, Interviews, Program Effectiveness
Dutta, Pratima – ProQuest LLC, 2013
The Personalized Integrated Educational System (PIES) design theory is a design recommendation regarding the function and features of Learning Managements Systems (LMS) that can support the information-age learner-centered paradigm of education. The purpose of this study was to improve the proposed functions and features of the PIES design theory…
Descriptors: Integrated Learning Systems, Models, Transcripts (Written Records), Observation
Sukin, Tia M. – ProQuest LLC, 2010
The presence of outlying anchor items is an issue faced by many testing agencies. The decision to retain or remove an item is a difficult one, especially when the content representation of the anchor set becomes questionable by item removal decisions. Additionally, the reason for the aberrancy is not always clear, and if the performance of the…
Descriptors: Simulation, Science Achievement, Sampling, Data Analysis
Carpenter, Carol L. – ProQuest LLC, 2010
The purpose of the present research was to investigate secondary school counselors' perceptions of counseling services for student-athletes who plan to transition to colleges or universities. The research used a qualitative, grounded theory approach. Ten secondary school counselors were interviewed using a standard, open-ended format (Patton,…
Descriptors: Grounded Theory, Sampling, School Counselors, Counseling Services
Evans, Josiah Jeremiah – ProQuest LLC, 2010
In measurement research, data simulations are a commonly used analytical technique. While simulation designs have many benefits, it is unclear if these artificially generated datasets are able to accurately capture real examinee item response behaviors. This potential lack of comparability may have important implications for administration of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Educational Testing, Admission (School)
Wren, Walter Burke – ProQuest LLC, 2010
The purpose of this multiple case study was to examine the mentoring relationship between principals and their teachers in regards to instructional practice at three demographically diverse elementary schools. Multiple data sources were used to conduct qualitative research which resulted in extensive data collection and analysis. The collection of…
Descriptors: Qualitative Research, Mentors, Adult Learning, Interviews
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